On linear predictors for MIMO channels and related blind identification and equalization

被引：23

作者：

Tugnait, JK ^{[1
]}

机构：

[1] Auburn Univ, Dept Elect Engn, Auburn, AL 36849 USA

来源：

IEEE SIGNAL PROCESSING LETTERS | 1998年 / 5卷 / 11期

基金：

美国国家科学基金会;

关键词：

blind equalization; blind identification; multichannel linear prediction; multiple-input multiple-output channels;

D O I：

10.1109/97.728470

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Existence of finite-length one-step linear predictors plays a key role in several existing algorithms for blind identification and equalization of multiple-input multiple-output (MIMO) systems. An upper bound on the length of the predictor is known for the case when the underlying MIMO transfer function is irreducible and column-reduced. When the MIMO transfer function is irreducible but not necessarily column-reduced, it is known that a finite-length linear predictor exists: however, its length has not been specified in the literature, An upper bound on the length of a linear predictor for MIMO systems with irreducible transfer functions is derived in this letter.

引用

页码：289 / 291

页数：3

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